Senior Compensation Strategy & Systems Manager

Compensation Strategy

• Evolve compensation philosophy across cash and equity
• Design and maintain salary bands, leveling frameworks, and equity structures
• Ensure market competitiveness while partnering with Finance on cost and workforce planning

Systems & Data Architecture

• Partner with Data Science to define compensation data schemas, pipeline requirements, and unified data models
• Enable AI agents and internal tools to query compensation data seamlessly
• Own the compensation tech stack: build vs. buy decisions, HRIS/ATS/equity platform integrations, and security/permissioning standards

AI-Native Workflows

• Design and implement AI-enabled workflows for offers, merit, promotions, and market adjustments
• Build human-in-the-loop validation frameworks to audit AI-generated recommendations for bias, accuracy, and logic

Decision Support & Analytics

• Operate compensation planning cycles and generate first-pass recommendations for comp decisions
• Build dashboards and analytical frameworks covering market competitiveness, internal equity, retention risk, and workforce cost

Requirements

• 8+ years in compensation, total rewards, or related analytical roles — ideally at a high-growth tech company
• Deep expertise in salary bands, equity design, and market benchmarking (broad-based, sales, and executive)
• Strong systems thinker who can translate policy into scalable workflows and decision logic
• Product mindset — think in terms of users, workflows, and iteration
• Comfortable partnering with Data/Engineering teams on data architecture and internal tooling
• High ownership; willing to operate hands-on

Nice to Have

• Experience at an AI-native company
• Prior internal tools or engineering-adjacent work

Tools

Pave, Radford, Rippling, Lattice, Ashby, Carta, Google Sheets, internal AI/automation tooling